Analysis of baseband equivalent noise in a first-order correlation loop utilizing filtered pseudonoise signals

A method for determining the statistics of the self-noise in a first-order correlation loop using signals with pseudonoise type properties is presented. A model for this type of signal is developed. Self-noise components are evaluated, and the thermal noise is examined. The approach is reasonably general and can be applied to a variety of signal structures and precorrelation filters. In many interesting cases, it is possible to use central limit theorem arguments to show that the equivalent noise is approximately additive, white, and Gaussian over the loop bandwidth